statistics: A library of statistical types, data, and functions
This library provides a number of common functions and types useful in statistics. Our focus is on high performance, numerical robustness, and use of good algorithms. Where possible, we provide references to the statistical literature.
The library's facilities can be divided into three broad categories:
Working with widely used discrete and continuous probability distributions. (There are dozens of exotic distributions in use; we focus on the most common.)
Computing with sample data: quantile estimation, kernel density estimation, bootstrap methods, and autocorrelation analysis.
[Skip to Readme]
For package maintainers and hackage trustees